Base Detection Research of Drilling Robot System by Using Visual Inspection

Joint Authors

Wang, Zhanxi
Qin, Xiansheng
Bai, Jing
Zhang, Xiaoyu
Tan, Xiaoqun
Zhao, Yali

Source

Journal of Robotics

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-01-31

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mechanical Engineering

Abstract EN

This paper expounds the principle and method of calibration and base detection by using the visual measurement system for detection and correction of installation error between workpiece and the robot drilling system.

This includes the use of Cognex Insight 5403 high precision industrial camera, a light source, and the KEYENCE coaxial IL-300 laser displacement sensor.

The three-base holes method and two-base holes method are proposed to analyze the transfer relation between the basic coordinate system of the actual hole drilling robot and the basic coordinate system of the theoretical hole drilling robot.

The corresponding vision coordinates calibration and the base detection experiments are examined and the data indicate that the result of base detection is close to the correct value.

American Psychological Association (APA)

Wang, Zhanxi& Bai, Jing& Zhang, Xiaoyu& Qin, Xiansheng& Tan, Xiaoqun& Zhao, Yali. 2018. Base Detection Research of Drilling Robot System by Using Visual Inspection. Journal of Robotics،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1197893

Modern Language Association (MLA)

Wang, Zhanxi…[et al.]. Base Detection Research of Drilling Robot System by Using Visual Inspection. Journal of Robotics No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1197893

American Medical Association (AMA)

Wang, Zhanxi& Bai, Jing& Zhang, Xiaoyu& Qin, Xiansheng& Tan, Xiaoqun& Zhao, Yali. Base Detection Research of Drilling Robot System by Using Visual Inspection. Journal of Robotics. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1197893

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1197893